quantrs2-device 0.1.3

Quantum device connectors for the QuantRS2 framework
Documentation
//! DistributedQuantumOrchestrator and core config implementations

use super::super::types::*;
use super::fault_tolerance::ComputationResult;
use super::load_balancers::CapabilityBasedBalancer;
use super::metrics::AllocationPlan;
use super::partitioning::*;
use super::state_management::*;
use std::collections::HashMap;
use std::sync::Arc;
use std::time::Duration;
use uuid::Uuid;

// Implementation of Default trait for main config
impl Default for DistributedComputationConfig {
    fn default() -> Self {
        Self {
            max_partition_size: 50,
            min_partition_size: 5,
            load_balancing_strategy: LoadBalancingStrategy::CapabilityBased,
            fault_tolerance_level: FaultToleranceLevel::Basic {
                redundancy_factor: 2,
            },
            state_synchronization_interval: Duration::from_millis(100),
            entanglement_distribution_protocol: EntanglementDistributionProtocol::Direct,
            consensus_protocol: ConsensusProtocol::Raft {
                election_timeout: Duration::from_millis(500),
                heartbeat_interval: Duration::from_millis(100),
            },
            optimization_objectives: vec![
                OptimizationObjective::MinimizeLatency { weight: 0.3 },
                OptimizationObjective::MaximizeFidelity { weight: 0.4 },
                OptimizationObjective::MinimizeResourceUsage { weight: 0.3 },
            ],
        }
    }
}

// Basic implementations for the main orchestrator
impl DistributedQuantumOrchestrator {
    pub fn new(config: DistributedComputationConfig) -> Self {
        Self {
            config,
            nodes: Arc::new(std::sync::RwLock::new(HashMap::new())),
            circuit_partitioner: Arc::new(CircuitPartitioner::new()),
            state_manager: Arc::new(DistributedStateManager::new()),
            load_balancer: Arc::new(CapabilityBasedBalancer::new()),
            _private: (),
        }
    }

    pub async fn submit_computation(&self, _request: ExecutionRequest) -> Result<Uuid> {
        // Simplified implementation - execution queue moved to internal implementation
        Ok(Uuid::new_v4())
    }

    async fn process_execution_queue(&self) -> Result<()> {
        // Simplified implementation
        Ok(())
    }
}

// Additional implementation methods
impl DistributedQuantumOrchestrator {
    async fn execute_distributed_computation(
        &self,
        request: ExecutionRequest,
    ) -> Result<ComputationResult> {
        // Partition the circuit
        let nodes = self.nodes.read().expect("Nodes RwLock poisoned").clone();
        let partitions =
            self.circuit_partitioner
                .partition_circuit(&request.circuit, &nodes, &self.config)?;

        // Simplified - resource allocation and execution simplified
        // Return dummy result for now
        Ok(ComputationResult {
            result_id: request.request_id,
            node_id: NodeId("simplified".to_string()),
            final_state: None,
            fidelity: 1.0,
            error_rate: 0.0,
            metadata: HashMap::new(),
            computation_id: request.request_id,
            measurements: HashMap::new(),
            execution_time: Duration::from_millis(0),
        })
    }

    async fn execute_partitions_parallel(
        &self,
        partitions: Vec<CircuitPartition>,
        allocation_plan: AllocationPlan,
    ) -> Result<Vec<ComputationResult>> {
        // Simplified implementation
        let mut results = Vec::new();

        for partition in partitions {
            if let Some(allocated_node) = allocation_plan.allocations.keys().next() {
                let result = self
                    .execute_partition_on_node(&partition, allocated_node)
                    .await?;
                results.push(result);
            }
        }

        Ok(results)
    }

    async fn execute_partition_on_node(
        &self,
        partition: &CircuitPartition,
        node_id: &NodeId,
    ) -> Result<ComputationResult> {
        // Simplified implementation
        Ok(ComputationResult {
            result_id: Uuid::new_v4(),
            computation_id: partition.partition_id,
            node_id: node_id.clone(),
            measurements: HashMap::new(),
            final_state: None,
            execution_time: Duration::from_millis(100),
            fidelity: 0.95,
            error_rate: 0.01,
            metadata: HashMap::new(),
        })
    }

    fn aggregate_partition_results(
        &self,
        results: Vec<ComputationResult>,
    ) -> Result<ComputationResult> {
        // Simplified aggregation
        if let Some(first_result) = results.first() {
            Ok(first_result.clone())
        } else {
            Err(DistributedComputationError::StateSynchronization(
                "No results to aggregate".to_string(),
            ))
        }
    }

    pub async fn register_node(&self, node_info: NodeInfo) -> Result<()> {
        let mut nodes = self.nodes.write().expect("Nodes RwLock poisoned");
        nodes.insert(node_info.node_id.clone(), node_info);
        Ok(())
    }

    pub async fn unregister_node(&self, node_id: &NodeId) -> Result<()> {
        let mut nodes = self.nodes.write().expect("Nodes RwLock poisoned");
        nodes.remove(node_id);
        Ok(())
    }

    pub async fn get_system_status(&self) -> SystemStatus {
        let nodes = self.nodes.read().expect("Nodes RwLock poisoned");

        SystemStatus {
            total_nodes: nodes.len() as u32,
            active_nodes: nodes
                .values()
                .filter(|n| matches!(n.status, NodeStatus::Active))
                .count() as u32,
            total_qubits: nodes.values().map(|n| n.capabilities.max_qubits).sum(),
            active_computations: 0, // Simplified
            system_health: 0.95,    // Simplified
        }
    }
}

/// System status summary
#[derive(Debug, Clone, serde::Serialize, serde::Deserialize)]
pub struct SystemStatus {
    pub total_nodes: u32,
    pub active_nodes: u32,
    pub total_qubits: u32,
    pub active_computations: u32,
    pub system_health: f64,
}